Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: The invention relates generally to a mobile robot, e.g. a humanoid robot, configured to provide reality capture and metrology grade geometric measurement, e.g. to generally support infrastructure surveillance and/or to support workflows in the field of metrology. Aspects of the mobile robot, inter alia, relate to providing increased accuracy of metrology grade devices to overcome deficiencies in mobile reality capture. On the other hand, benefits of mobility provided by mobile robots are transformed to the field of metrology while maintaining metrology grade accuracy.

Abstract: The invention relates generally to a mobile robot, e.g. a humanoid robot, configured to provide reality capture and metrology grade geometric measurement, e.g. to generally support infrastructure surveillance and/or to support workflows in the field of metrology. Aspects of the mobile robot, inter alia, relate to providing increased accuracy of metrology grade devices to overcome deficiencies in mobile reality capture. On the other hand, benefits of mobility provided by mobile robots are transformed to the field of metrology while maintaining metrology grade accuracy.

Abstract: The invention relates generally to a mobile robot, e.g. a humanoid robot, configured to provide reality capture and metrology grade geometric measurement, e.g. to generally support infrastructure surveillance and/or to support workflows in the field of metrology. Aspects of the mobile robot, inter alia, relate to providing increased accuracy of metrology grade devices to overcome deficiencies in mobile reality capture. On the other hand, benefits of mobility provided by mobile robots are transformed to the field of metrology while maintaining metrology grade accuracy.

Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing an object avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

Abstract: The invention relates to a computer implemented method for identifying transparent and/or mirroring plane candidates from measurement data resulting from scanning an environment by a laser scanner emitting distance measuring light pulses.

Abstract: A system for 3D surveying of an environment by an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV) has two lidar devices. A reference unit has a first and a second marker in a spatially fixed arrangement. An automatic detection of the first marker is carried out for a coordinative measurement by the first lidar device to determine relative position data for providing relative position information of the first marker with respect to the first lidar device. The relative position data and spatial 3D information is used for an automatic detection and a coordinative measurement of the second marker by the second lidar device. The coordinative measurements are used for a referencing of lidar data of the UGV lidar device and lidar data of the UAV lidar device with respect to a common coordinate system.

Abstract: A GNSS antenna system for receiving GNSS signals in the L1 and L2/L5 frequency band, and to an unmanned aerial vehicle (UAV) comprising the GNSS antenna system.

Abstract: This disclosure relates to systems and methods for vehicle guidance. Stereo images may be obtained at different times using a stereo image sensor. A depth image may be determined based on an earlier obtained pair of stereo images. The depth image may be refined based on predictions of an earlier stereo image and a later obtained stereo image. Depth information for an environment around a vehicle may be obtained. The depth information may characterize distances between the vehicle and the environment around the vehicle. A spherical depth map may be generated from the depth information. Maneuver controls for the vehicle may be provided based on the spherical depth map.

Abstract: This disclosure relates to systems and methods for controlling an unmanned aerial vehicle. Boundaries of a user-defined space may be obtained. The boundaries of the user-defined space may be fixed with respect to some reference frame. A user-defined operation associated with the user-selected space may be obtained. Position of the unmanned aerial vehicle may be tracked during an unmanned aerial flight. Responsive to the unmanned aerial vehicle entering the user-defined space, the unmanned aerial vehicle may be automatically controlled to perform the user-defined operation.

Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object

Abstract: A GNSS antenna system for receiving GNSS signals in the L1 and L2/L5 frequency band, and to an unmanned aerial vehicle (UAV) comprising the GNSS antenna system.

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing an object avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include, receiving an image from an image sensor; storing a sequence of images captured after the image in a buffer; determining an orientation error between the orientation of the image sensor and an orientation setpoint during capture of the image; determining a rotation corresponding to the orientation error based on orientation estimates from the sequence of orientation estimates corresponding to the sequence of images; and invoking an electronic image stabilization module to correct the image to obtain a stabilized image, in which the electronic image stabilization module corrects the image for the rotation corresponding to the orientation error.

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: A vehicle includes systems and methods to guide the vehicle. A sensor detects objects around the vehicle and processor includes a predicted motion component and a predicted imaging component to avoid objects around the vehicle. The system and method then avoid the object if the processor determines that an intersection will occur between the object and the vehicle.

Abstract: This disclosure relates to systems and methods for controlling an unmanned aerial vehicle. Boundaries of a user-defined space may be obtained. The boundaries of the user-defined space may be fixed with respect to some reference frame. A user-defined operation associated with the user-selected space may be obtained. Position of the unmanned aerial vehicle may be tracked during an unmanned aerial flight. Responsive to the unmanned aerial vehicle entering the user-defined space, the unmanned aerial vehicle may be automatically controlled to perform the user-defined operation.